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Forcepoint Risk Adaptive Protection for DLP vs Google Cloud Data Loss Prevention comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Forcepoint Risk Adaptive Pr...
Ranking in Data Loss Prevention (DLP)
44th
Average Rating
7.0
Reviews Sentiment
5.2
Number of Reviews
4
Ranking in other categories
No ranking in other categories
Google Cloud Data Loss Prev...
Ranking in Data Loss Prevention (DLP)
28th
Average Rating
9.0
Reviews Sentiment
5.2
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Data Loss Prevention (DLP) category, the mindshare of Forcepoint Risk Adaptive Protection for DLP is 0.9%, up from 0.4% compared to the previous year. The mindshare of Google Cloud Data Loss Prevention is 1.0%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Loss Prevention (DLP) Mindshare Distribution
ProductMindshare (%)
Google Cloud Data Loss Prevention1.0%
Forcepoint Risk Adaptive Protection for DLP0.9%
Other98.1%
Data Loss Prevention (DLP)
 

Featured Reviews

SK
Cyber Security Engineer at Infratech Co
Policy management has improved data protection but configuration and encrypted traffic remain challenging
In my perspective, there are several things that need to be improved in Forcepoint Risk Adaptive Protection for DLP, such as the inability to monitor some encrypted data or data leaking in incognito mode. Additionally, Forcepoint Risk Adaptive Protection for DLP cannot monitor encrypted applications such as Microsoft Teams because it is end-to-end encrypted. In terms of additional features, there are many aspects of Forcepoint Risk Adaptive Protection for DLP that need improvement. Right now, two or three items are necessary, such as testing every policy to make sure they are configured correctly. We cannot go directly to production due to the extensive fine-tuning required, which typically takes two to three weeks to monitor the policy after customization. A lot of time has been consumed in the two to three weeks needed, which is something that should be reduced. Additionally, concerning the predefined policies, we cannot see the backend condition or backend script, which makes it difficult to modify the predefined policy.
RaviUpadhyay - PeerSpot reviewer
Security Consultant at HCLSoftware
Automated scans have classified sensitive data and protect privacy in complex environments
When someone asks where sensitive data is located and to classify it, they would start working manually and would take four or five months to detect only that sensitive data. Google Cloud Data Loss Prevention helps significantly. They have a predefined template, and whatever category comes under sensitive data has been researched with almost 99% accuracy and included in the template. A person needs to attach the template and scan their data. Once initiated, it will take time, such as 24 hours or 48 hours, depending on the data size. Once the template is applied and the system scans it, a tagging report of the sensitive data locations is returned. A report is available, and what previously would have taken a month can now be achieved by Google Cloud Data Loss Prevention services in detecting sensitive PII data within 48 hours maximum, even if the data size is larger. Once the report is available, the person would know where the sensitive data is located. Dealing with sensitive data is the next question. If data is not to be shared, it has to be hidden, masked, or changed. All kinds of things can be applied to dealing with that data. Google Cloud Data Loss Prevention has another feature available called de-identification services, which deals with sensitive data in applications or production environments.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The most valuable features in Forcepoint Risk Adaptive Protection for DLP include policy management and endpoint status, as well as supplementary servers, OCR, IRR, and additional features."
"It primarily influences policy enforcement, cloud application access control, and endpoint network coverage."
"Forcepoint Risk Adaptive Protection for DLP is purely a DLP-based solution, which makes it the best option available."
"We chose Forcepoint as part of our cybersecurity strategy, and one of the key expectations was to prevent data leakage."
"These tasks can be achieved by Google Cloud Data Loss Prevention services in a programmatic way, very quickly and very efficiently."
"It is user- friendly and has a easy integration."
 

Cons

"In my perspective, there are several things that need to be improved in Forcepoint Risk Adaptive Protection for DLP, such as the inability to monitor some encrypted data or data leaking in incognito mode."
"From an end user's perspective, it's not always clear what's happening with the DLP. It would be beneficial to have more use cases available, perhaps on a countrywide basis."
"The SaaS solution needs improvement, especially the malware-centric part, although the CASB is better but mostly data-centric. The after-sale support could also be improved."
"The deployment is a little bit difficult. It requires two to three separate servers for databases and the application."
"Improvement are made as per client requirement."
"Google Cloud Data Loss Prevention has a system, but it is not very mature."
 

Pricing and Cost Advice

"The licensing cost is roughly 90 US dollars per year, per license."
Information not available
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909,725 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Comms Service Provider
13%
Financial Services Firm
10%
University
10%
Construction Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Forcepoint Risk Adaptive Protection for DLP?
Forcepoint Risk Adaptive Protection for DLP is very costly, especially in Sri Lanka, but the compliance ROI justifies the investment.
What needs improvement with Forcepoint Risk Adaptive Protection for DLP?
In my perspective, there are several things that need to be improved in Forcepoint Risk Adaptive Protection for DLP, such as the inability to monitor some encrypted data or data leaking in incognit...
What is your primary use case for Forcepoint Risk Adaptive Protection for DLP?
I have experience with Forcepoint Data Loss Prevention and Netwrix Endpoint Protector, as I am currently working with both. My experience is primarily with Forcepoint. I am mostly working with Forc...
What needs improvement with Google Cloud Data Loss Prevention?
When someone asks where sensitive data is located and to classify it, they would start working manually and would take four or five months to detect only that sensitive data. Google Cloud Data Loss...
What advice do you have for others considering Google Cloud Data Loss Prevention?
Further strategies can be defined based on specific use cases. For example, in an R&D company where doctors are dealing with sensitive data and need to share it, if two doctors are sitting in d...
What is your experience regarding pricing and costs for Google Cloud Data Loss Prevention?
Pricing is based on data size. Google offers different pricing models, and they provide good discounts when someone commits to a long-term engagement with their Google services.
 

Overview

Find out what your peers are saying about Forcepoint Risk Adaptive Protection for DLP vs. Google Cloud Data Loss Prevention and other solutions. Updated: August 2026.
909,725 professionals have used our research since 2012.